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Automated NMR Fragment Based Screening Identified a Novel Interface Blocker to the LARG/RhoA Complex

Overview of attention for article published in PLOS ONE, February 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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1 blog

Citations

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21 Dimensions

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52 Mendeley
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Title
Automated NMR Fragment Based Screening Identified a Novel Interface Blocker to the LARG/RhoA Complex
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0088098
Pubmed ID
Authors

Jia Gao, Rongsheng Ma, Wei Wang, Na Wang, Ryan Sasaki, David Snyderman, Jihui Wu, Ke Ruan

Abstract

The small GTPase cycles between the inactive GDP form and the activated GTP form, catalyzed by the upstream guanine exchange factors. The modulation of such process by small molecules has been proven to be a fruitful route for therapeutic intervention to prevent the over-activation of the small GTPase. The fragment based approach emerging in the past decade has demonstrated its paramount potential in the discovery of inhibitors targeting such novel and challenging protein-protein interactions. The details regarding the procedure of NMR fragment screening from scratch have been rarely disclosed comprehensively, thus restricts its wider applications. To achieve a consistent screening applicable to a number of targets, we developed a highly automated protocol to cover every aspect of NMR fragment screening as possible, including the construction of small but diverse libray, determination of the aqueous solubility by NMR, grouping compounds with mutual dispersity to a cocktail, and the automated processing and visualization of the ligand based screening spectra. We exemplified our streamlined screening in RhoA alone and the complex of the small GTPase RhoA and its upstream guanine exchange factor LARG. Two hits were confirmed from the primary screening in cocktail and secondary screening over individual hits for LARG/RhoA complex, while one of them was also identified from the screening for RhoA alone. HSQC titration of the two hits over RhoA and LARG alone, respectively, identified one compound binding to RhoA.GDP at a 0.11 mM affinity, and perturbed the residues at the switch II region of RhoA. This hit blocked the formation of the LARG/RhoA complex, validated by the native gel electrophoresis, and the titration of RhoA to ¹⁵N labeled LARG in the absence and presence the compound, respectively. It therefore provides us a starting point toward a more potent inhibitor to RhoA activation catalyzed by LARG.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Germany 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 33%
Student > Ph. D. Student 9 17%
Student > Master 5 10%
Professor 4 8%
Student > Bachelor 3 6%
Other 5 10%
Unknown 9 17%
Readers by discipline Count As %
Chemistry 18 35%
Agricultural and Biological Sciences 12 23%
Biochemistry, Genetics and Molecular Biology 10 19%
Nursing and Health Professions 2 4%
Arts and Humanities 1 2%
Other 1 2%
Unknown 8 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 March 2014.
All research outputs
#4,138,253
of 22,749,166 outputs
Outputs from PLOS ONE
#58,819
of 194,169 outputs
Outputs of similar age
#50,471
of 307,214 outputs
Outputs of similar age from PLOS ONE
#1,392
of 5,654 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,169 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,214 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 5,654 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.